![]() ![]() If the pattern does not exist, we’re going to get a none object to represent nowness or nothingness. ![]() To work with regular expressions will have to begin by importing a module from within the standard library called re. So regular expressions are just an internal language built into Python that allows us to identify and write out those strategies to help identify snippets of text within larger chunks of text. Or if we’re looking for something like a zip code within the United States, we can write a pattern to search for five digits in a row. And usually, those numbers are separated by spaces or dashes or slashes or something like that. A phone number has a specific pattern as well. Or we can, for example, be looking for a phone number. We have the sign in the middle, and then we have something before it and something afterward. ![]() An email address has a particular pattern. It’s a strategy to identify text, and the applications in the real world are vast.įor example, we may need to pass a big chunk of text and find the nested email address within it. So a pattern can mean something like three digits in a row or two alphabetic letters in a row or the letters BCA in sequence, or any number of whitespace characters in a row. It’s just a strategy that we use to identify text. ![]()
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